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Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9780655128809
Total Pages : 0 pages
Book Rating : 4.1/5 (288 download)
Download or read book Java Data Mining The Ultimate Step-By-Step Guide written by Gerardus Blokdyk and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Java Data Mining The Ultimate Step-By-Step Guide.
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655178804
Total Pages : 124 pages
Book Rating : 4.1/5 (788 download)
Download or read book Java Data Mining the Ultimate Step-By-Step Guide written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-04-13 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: What are our Java Data Mining Processes? How does Java Data Mining integrate with other business initiatives? Which customers cant participate in our Java Data Mining domain because they lack skills, wealth, or convenient access to existing solutions? What business benefits will Java Data Mining goals deliver if achieved? Why are Java Data Mining skills important? This valuable Java Data Mining self-assessment will make you the principal Java Data Mining domain auditor by revealing just what you need to know to be fluent and ready for any Java Data Mining challenge. How do I reduce the effort in the Java Data Mining work to be done to get problems solved? How can I ensure that plans of action include every Java Data Mining task and that every Java Data Mining outcome is in place? How will I save time investigating strategic and tactical options and ensuring Java Data Mining costs are low? How can I deliver tailored Java Data Mining advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Java Data Mining essentials are covered, from every angle: the Java Data Mining self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Java Data Mining outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Java Data Mining practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Java Data Mining are maximized with professional results. Your purchase includes access details to the Java Data Mining self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book.
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9781867406181
Total Pages : 306 pages
Book Rating : 4.4/5 (61 download)
Download or read book Java Data Mining A Complete Guide - 2020 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2020-05-18 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is it economical; do you have the time and money? What stupid rule would you most like to kill? How is progress measured? Is the required Java Data Mining data gathered? Who will be responsible for making the decisions to include or exclude requested changes once Java Data Mining is underway? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Java Data Mining investments work better. This Java Data Mining All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Java Data Mining Self-Assessment. Featuring 949 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Java Data Mining improvements can be made. In using the questions you will be better able to: - diagnose Java Data Mining projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Java Data Mining and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Java Data Mining Scorecard, you will develop a clear picture of which Java Data Mining areas need attention. Your purchase includes access details to the Java Data Mining self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Java Data Mining Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author : Liam Damien
Publisher :
ISBN 13 :
Total Pages : 432 pages
Book Rating : 4.5/5 (812 download)
Download or read book The Complete Beginner's Guide of Data Mining, Data Analytics, and Data Science Step-by-step Beginner's Guide to Learn and Master Data Mining, Data Analytics, and Data Science written by Liam Damien and published by . This book was released on 2020-12-14 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes: Data Mining: Your Ultimate Guide to a Comprehensive Understanding of Data Mining Here's a sneak peek of what you'll learn with this book: Today, we live in the age of massive production of data. Machines and platforms are churning out data like never before! Start by taking count of the number of gadgets you have. How many services have you signed up for? Facebook, Instagram, Uber, Twitter, E-commerce - the list is endless. What is interesting is that all this data goes right back to whoever owns the product. They then use that information to improve their products. It is this process of gathering data that is referred to as Data Mining. What you need to understand is that the more data you collect, the more value you can deliver. The more value you provide, the more revenue your business generates. Here, we will discuss what data mining is all about and how you can use that data to make a lot of difference in your business and the world around you. And much more.... Data Analytics: A Comprehensive Beginner's Guide to Learn the Realms of Data Analytics Throughout these pages, you will learn: What Data Science is and the skills that one needs to develop to become a data scientist Big Data and its benefits What is data and how it can be used to obtain insights The different types of data analytics What is Data Visualization How to interpret data What are data mining and the different algorithms used for data mining Some data mining tools and their advantages What is data integration and the process And much more.... Data Science: A Comprehensive Beginner's Guide to Learn the Realms of Data Science Data science is rapidly expanding its horizons to places never thought possible. It can be quite difficult to keep up with the innovations, which takes place every day. A complete history of data science and why learning data science will be a great choice. The study of Linear Algebra and mathematics and how you can effectively apply it to data science The study of python programming and how you can become an expert at it The study of machine learning and how it is forever interwoven with data science Data visualization and how it is fundamentally different from data mining And much more.... This book won't make you an expert programmer, but it will give you an exciting first look at programming and a foundation of basic concepts with which you can start your journey in learning computer programming. Grab your copy Now!!!
Author : Eric Goh
Publisher : SVBook
ISBN 13 :
Total Pages : pages
Book Rating : 4./5 ( download)
Download or read book A Quick Guide to Data Mining with Weka and Java using Weka written by Eric Goh and published by SVBook. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This technical book aim to equip the reader with Weka, Data Mining in a fast and practical way. There will be many examples and explanations that are straight to the point. Contents 1. Introduction (What is data science, what is data mining, CRISP DM Model, what is text mining, three types of analytics, big data) 2. Getting Started (INstall Weka) 3. Prediction and Classification (Prediction and Classification) 4. Machine Learning Basics (KMeans Clustering, Decision Tree, Naive Bayes, KNN, Neural Network) 5. Data Mining with Weka (Data Understanding using Weka, Data Preparation using Weka, Model Building and Evaluation using Weka) 6. Java interact Weka (Use Java to use Weka, in order to develop your own prediction or classification system) 7. Conclusion This book has been taught at Udemy and EMHAcademy.com. Use the following Coupon to get the Udemy Course at $11.99: https://www.udemy.com/machine-learning-with-java-and-weka/?couponCode=SPECIALCOUPON
Author : Ian H. Witten
Publisher : Elsevier
ISBN 13 : 0080890369
Total Pages : 665 pages
Book Rating : 4.0/5 (88 download)
Download or read book Data Mining written by Ian H. Witten and published by Elsevier. This book was released on 2011-02-03 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization
Author : K. Manoj
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (96 download)
Download or read book Machine Learning for Effective Data Mining written by K. Manoj and published by . This book was released on 2023-05-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mark F. Hornick
Publisher : Elsevier
ISBN 13 : 0080495915
Total Pages : 545 pages
Book Rating : 4.0/5 (84 download)
Download or read book Java Data Mining: Strategy, Standard, and Practice written by Mark F. Hornick and published by Elsevier. This book was released on 2010-07-26 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard. Data mining introduction - an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems JDM essentials - concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects JDM in practice - the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API Free, downloadable KJDM source code referenced in the book available here
Author : Alex Campbell
Publisher :
ISBN 13 :
Total Pages : 90 pages
Book Rating : 4.6/5 (913 download)
Download or read book Data Mining and Analytics written by Alex Campbell and published by . This book was released on 2020-09-28 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you curious about data mining and analytics? Have you ever wondered how the world is filled with so much data and what is it used for? Do you wonder how companies use data to improve their revenue and steer themselves toward the path of success? Would you like to know why data is a new currency and companies invest so much to extract, store, and process data? Do you want to know how businesses leverage data to make millions of dollars in revenue? All of this can be achieved through data mining and analytics. If you are curious to know the answers to all these questions, this is the right book for you. This book will break down the terms data and mining for you so you can understand the concepts individually and then as a whole. If you have been looking to launch yourself into the world of data mining and data analytics, this book will serve as the perfect launchpad. The book will introduce you to all the concepts of data mining and analytics in a very tailored manner. It doesn't matter if you are a beginner in the field of data or a veteran; you will have something important to take away from this book. The tools and techniques described will teach you how data mining is used by organizations to steer themselves to success. This book will take you through: An overview of data mining and the need for data mining today Comparisons between data mining and data science The tasks and issues in data mining The terminologies used in data mining The data mining query language Classification, prediction, and cluster analysis in data mining This book has been tailored for you to understand data mining and analytics. There are step-by-step guides with code syntaxes so that you can understand various data mining techniques. If you're looking for the ultimate guide in mining, analytics and metrics, then grab your copy today!
Author : Liam Damien
Publisher :
ISBN 13 : 9781713205333
Total Pages : 156 pages
Book Rating : 4.2/5 (53 download)
Download or read book Data Mining written by Liam Damien and published by . This book was released on 2019-12-02 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you think there are shortcuts to data mining, then think again! So many people today think that data mining has the ability to sail away from every data storm. The truth is, it will not!When you realize that you are struggling to improve the accuracy of models, only then can you employ the use of data mining techniques for your rescue. Personally, I have been through the same situations many times. When I first started out as a business analytics personnel, my mentor suggested that I spend a lot of time data mining and doing data analysis. Well, I can't thank him enough for that piece of advice. Today, we live in the age of massive production of data. Machines and platforms are churning out data like never before! Start by taking count of the number of gadgets you have. How many services have you signed up for? Facebook, Instagram, Uber, Twitter, E-commerce - the list is endless. What is interesting is that all this data goes right back to whoever owns the product. They then use that information to improve their products. It is this process of gathering data that is referred to as Data Mining. What you need to understand is that the more data you collect, the more value you can deliver. The more value you provide, the more revenue your business generates. Here, we will discuss what data mining is all about and how you can use that data to make a lot of difference in your business and the world around you.Come with me and let's get down to work!
Author : Andrea Ahlemeyer-Stubbe
Publisher : John Wiley & Sons
ISBN 13 : 1118763378
Total Pages : 323 pages
Book Rating : 4.1/5 (187 download)
Download or read book A Practical Guide to Data Mining for Business and Industry written by Andrea Ahlemeyer-Stubbe and published by John Wiley & Sons. This book was released on 2014-03-31 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.
Author : Alexey Grigorev
Publisher : Packt Publishing Ltd
ISBN 13 : 1785887394
Total Pages : 355 pages
Book Rating : 4.7/5 (858 download)
Download or read book Mastering Java for Data Science written by Alexey Grigorev and published by Packt Publishing Ltd. This book was released on 2017-04-27 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Java to create a diverse range of Data Science applications and bring Data Science into production About This Book An overview of modern Data Science and Machine Learning libraries available in Java Coverage of a broad set of topics, going from the basics of Machine Learning to Deep Learning and Big Data frameworks. Easy-to-follow illustrations and the running example of building a search engine. Who This Book Is For This book is intended for software engineers who are comfortable with developing Java applications and are familiar with the basic concepts of data science. Additionally, it will also be useful for data scientists who do not yet know Java but want or need to learn it. If you are willing to build efficient data science applications and bring them in the enterprise environment without changing the existing stack, this book is for you! What You Will Learn Get a solid understanding of the data processing toolbox available in Java Explore the data science ecosystem available in Java Find out how to approach different machine learning problems with Java Process unstructured information such as natural language text or images Create your own search engine Get state-of-the-art performance with XGBoost Learn how to build deep neural networks with DeepLearning4j Build applications that scale and process large amounts of data Deploy data science models to production and evaluate their performance In Detail Java is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises. Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external. What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort. This book will teach you how to create data science applications with Java. First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics. We start by going over the existing libraries for data processing and libraries with machine learning algorithms. After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrieval and natural language processing, and deep learning and big data. Finally, we finish the book by talking about the ways to deploy the model and evaluate it in production settings. Style and approach This is a practical guide where all the important concepts such as classification, regression, and dimensionality reduction are explained with the help of examples.
Author : 威腾
Publisher :
ISBN 13 : 9787111127697
Total Pages : 397 pages
Book Rating : 4.1/5 (276 download)
Download or read book Data Mining written by 威腾 and published by . This book was released on 2003 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ivanka Menken
Publisher : Tebbo
ISBN 13 : 9781486460441
Total Pages : 510 pages
Book Rating : 4.4/5 (64 download)
Download or read book Data Mining Guidance - Real World Application, Templates, Documents, and Examples of the Use of Data Mining in the Public Domain. Plus Free Access To written by Ivanka Menken and published by Tebbo. This book was released on 2013-01 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thoroughly explains the Data Mining process...and has all the insights, experiences and instructions needed for successful Data Mining. - Your Step-by-Step Guide to Data Mining. Best Practices for implementations and check-ups. - Free Updates and downloads of all forms and documents included. Key Book Benefits: Delivers authoritative, field-tested best practices for Data Mining. Covers the full lifecycle, from planning, design, and deployment. Includes access to download of complete set of documents as discussed in the book, and more. The instantly downloadable documents can be used straight away. Comes with job aids, utilities, and full downloads of all documents. Drive Better Productivity and Increase Success with this book Starting Now. Discover Real-World Best Practices-Without Paying Expensive Consultants You're investing in Data Mining for one reason: to drive major performance improvements across your entire organization. Data Mining Best Practices will help you do just that. Drawing on their experience with dozens of deployments, The Art of Service offers expert guidance on every aspect of Data Mining deployment, with results-focused best practices for every area of the organization touched by Data Mining, including sales, marketing, customer service, finance, legal, and IT. This is information you'd otherwise have to pay a consultant top dollars to get...information you won't find in any other book! The Art of Service walks you through developing a comprehensive and effective implementation strategy, followed by tactics and specifics to overcome every challenge you face, including internal politics. Through this book and its companion Web site, The Art of Service provides presentations, questionnaires, step-by-step guides, and extensive resources-all part of the Content on Demand system that gives your organization maximum results from Data Mining. - Achieve higher end-customer satisfaction and dramatic productivity gains - Overcome "people, product, and process" pitfalls that can limit the value of your Data Mining - Learn which procedures, processes and documentation are right for your implementation - This book's varied set of start-to-finish roadmap documents for success can be used by companies of all sizes in all industries for executives, team leaders, implementation team members, developers, and users throughout the business. From Overwhelmed to Empowered - Changing the way you find Answers - This book includes access to The Art of Service's on-demand digital library to Search, Download, Learn and use direct applicable documents for technology and business professionals, eliminating spending money and time on self-development. Every day, many large enterprises run hundreds of projects using The Art of Service Documentation. For these companies, The Art of Service is ideal for their custom project development, quality assurance, IT Service Management implementation, virtual training, or documentation. The Art of Service Content-on-Demand is unique. With The Art of Service, users get the documents and the knowledge they need and IT managers get complete visibility and management control over project deployments. Get Your Access Today.
Author : Meta S. Brown
Publisher : John Wiley & Sons
ISBN 13 : 1118893174
Total Pages : 422 pages
Book Rating : 4.1/5 (188 download)
Download or read book Data Mining For Dummies written by Meta S. Brown and published by John Wiley & Sons. This book was released on 2014-09-29 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.
Author : Yusuke Sugomori
Publisher : Packt Publishing Ltd
ISBN 13 : 1788471717
Total Pages : 744 pages
Book Rating : 4.7/5 (884 download)
Download or read book Deep Learning: Practical Neural Networks with Java written by Yusuke Sugomori and published by Packt Publishing Ltd. This book was released on 2017-06-08 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build and run intelligent applications by leveraging key Java machine learning libraries About This Book Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries. Explore a broad variety of data processing, machine learning, and natural language processing through diagrams, source code, and real-world applications This step-by-step guide will help you solve real-world problems and links neural network theory to their application Who This Book Is For This course is intended for data scientists and Java developers who want to dive into the exciting world of deep learning. It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications in real life. What You Will Learn Get a practical deep dive into machine learning and deep learning algorithms Explore neural networks using some of the most popular Deep Learning frameworks Dive into Deep Belief Nets and Stacked Denoising Autoencoders algorithms Apply machine learning to fraud, anomaly, and outlier detection Experiment with deep learning concepts, algorithms, and the toolbox for deep learning Select and split data sets into training, test, and validation, and explore validation strategies Apply the code generated in practical examples, including weather forecasting and pattern recognition In Detail Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognitionStarting with an introduction to basic machine learning algorithms, this course takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. This course helps you solve challenging problems in image processing, speech recognition, language modeling. You will discover how to detect anomalies and fraud, and ways to perform activity recognition, image recognition, and text. You will also work with examples such as weather forecasting, disease diagnosis, customer profiling, generalization, extreme machine learning and more. By the end of this course, you will have all the knowledge you need to perform deep learning on your system with varying complexity levels, to apply them to your daily work. The course provides you with highly practical content explaining deep learning with Java, from the following Packt books: Java Deep Learning Essentials Machine Learning in Java Neural Network Programming with Java, Second Edition Style and approach This course aims to create a smooth learning path that will teach you how to effectively use deep learning with Java with other de facto components to get the most out of it. Through this comprehensive course, you'll learn the basics of predictive modelling and progress to solve real-world problems and links neural network theory to their application
Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9780655376651
Total Pages : 0 pages
Book Rating : 4.3/5 (766 download)
Download or read book Java Platform The Ultimate Step-By-Step Guide written by Gerardus Blokdyk and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Java Platform The Ultimate Step-By-Step Guide.
